activity
20182024
most citedA Survey on Distributed Machine Learning

873 citations · 971 across the 15 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.DC2021

In-Memory Indexed Caching for Distributed Data Processing

Alexandru Uta, Bogdan Ghit, Ankur Dave +2

Powerful abstractions such as dataframes are only as efficient as their underlying runtime system. The de-facto distributed data processing framework, Apache Spark, is poorly suite…

cs.DC2021★ 64 cited

Roadmap for Edge AI: A Dagstuhl Perspective

Aaron Yi Ding, Ella Peltonen, Tobias Meuser +16

Based on the collective input of Dagstuhl Seminar (21342), this paper presents a comprehensive discussion on AI methods and capabilities in the context of edge computing, referred…

cs.DC2021★ 5 cited

A Fresh Look at the Architecture and Performance of Contemporary Isolation Platforms

Vincent van Rijn, Jan S. Rellermeyer

With the ever-increasing pervasiveness of the cloud computing paradigm, strong isolation guarantees and low performance overhead from isolation platforms are paramount. An ideal is…

cs.AI2021

RCURRENCY: Live Digital Asset Trading Using a Recurrent Neural Network-based Forecasting System

Yapeng Jasper Hu, Ralph van Gurp, Ashay Somai +2

Consistent alpha generation, i.e., maintaining an edge over the market, underpins the ability of asset traders to reliably generate profits. Technical indicators and trading strate…

cs.LG2021★ 1 cited

Systematic Mapping Study on the Machine Learning Lifecycle

Yuanhao Xie, Luís Cruz, Petra Heck +1

The development of artificial intelligence (AI) has made various industries eager to explore the benefits of AI. There is an increasing amount of research surrounding AI, most of w…